1 00:00:00,000 --> 00:00:03,480 All right, so today we're going deep on AI, 2 00:00:03,480 --> 00:00:04,880 but not just any AI. 3 00:00:04,880 --> 00:00:07,640 We're talking about the next three years. 4 00:00:07,640 --> 00:00:11,220 You shared some seriously intriguing predictions 5 00:00:11,220 --> 00:00:13,960 from AI expert Julia McCoy. 6 00:00:13,960 --> 00:00:17,020 And let me tell you, even I was surprised 7 00:00:17,020 --> 00:00:18,400 by some of this stuff. 8 00:00:18,400 --> 00:00:21,720 Apparently we're 40 to 50 years ahead of schedule. 9 00:00:21,720 --> 00:00:23,480 Even AI experts are blown away 10 00:00:23,480 --> 00:00:25,360 by how fast things are developing. 11 00:00:25,360 --> 00:00:27,000 It's true, the rate of advancement 12 00:00:27,000 --> 00:00:29,280 is unlike anything we've seen before. 13 00:00:29,280 --> 00:00:32,000 So get ready to explore what this accelerated timeline 14 00:00:32,000 --> 00:00:32,840 means for you. 15 00:00:32,840 --> 00:00:34,480 And this isn't just hype. 16 00:00:34,480 --> 00:00:37,400 There's a real scientific basis for these predictions. 17 00:00:37,400 --> 00:00:40,800 One key factor is something called scaling laws. 18 00:00:40,800 --> 00:00:43,440 It's a bit technical, but basically, 19 00:00:43,440 --> 00:00:44,840 researchers have discovered that there 20 00:00:44,840 --> 00:00:47,520 are predictable relationships between the amount 21 00:00:47,520 --> 00:00:51,600 of computing power data and the capabilities of AI models. 22 00:00:51,600 --> 00:00:53,160 Think of it like a recipe. 23 00:00:53,160 --> 00:00:55,960 The more ingredients you add, the bigger the cake. 24 00:00:55,960 --> 00:00:58,760 And in this case, the cake is AI intelligence. 25 00:00:58,760 --> 00:01:00,800 So instead of just throwing more computing power 26 00:01:00,800 --> 00:01:03,640 at the problem, we're getting smarter about how we use it. 27 00:01:03,640 --> 00:01:04,960 Exactly. 28 00:01:04,960 --> 00:01:07,340 We're starting to understand the underlying mechanics 29 00:01:07,340 --> 00:01:11,120 of AI development, which allows us to forecast its progress 30 00:01:11,120 --> 00:01:12,920 with a lot more accuracy. 31 00:01:12,920 --> 00:01:15,160 It's no longer just guesswork. 32 00:01:15,160 --> 00:01:17,920 We're getting a clearer picture of where AI is heading 33 00:01:17,920 --> 00:01:19,520 and how quickly it's getting there. 34 00:01:19,520 --> 00:01:23,120 OK, so we're getting better at predicting AI's trajectory. 35 00:01:23,120 --> 00:01:25,320 But what about the AI itself? 36 00:01:25,320 --> 00:01:27,520 How is it becoming more capable? 37 00:01:27,520 --> 00:01:30,400 Well, aside from scaling laws, there 38 00:01:30,400 --> 00:01:33,040 are a couple of other fascinating developments. 39 00:01:33,040 --> 00:01:37,520 One is something called inference time compute scaling. 40 00:01:37,520 --> 00:01:38,560 Think of it this way. 41 00:01:38,560 --> 00:01:40,640 When you're faced with a tough problem, 42 00:01:40,640 --> 00:01:42,960 sometimes you need to step back and just think about it 43 00:01:42,960 --> 00:01:43,880 for a while. 44 00:01:43,880 --> 00:01:45,520 It's the same with AI. 45 00:01:45,520 --> 00:01:49,640 By allowing AI models more thinking time. 46 00:01:49,640 --> 00:01:51,920 Technically, it's called inference time. 47 00:01:51,920 --> 00:01:55,640 They can actually understand and process information much 48 00:01:55,640 --> 00:01:56,560 more deeply. 49 00:01:56,560 --> 00:01:57,000 Interesting. 50 00:01:57,000 --> 00:01:58,560 It's not just about speed. 51 00:01:58,560 --> 00:02:02,520 It's about giving AI the time to really mull things over. 52 00:02:02,520 --> 00:02:04,920 So it's like giving AI the equivalent of a good night's 53 00:02:04,920 --> 00:02:07,120 sleep to process all that data. 54 00:02:07,120 --> 00:02:08,480 Yeah, something like that. 55 00:02:08,480 --> 00:02:09,320 It's interesting. 56 00:02:09,320 --> 00:02:10,920 What's the other development you mentioned? 57 00:02:10,920 --> 00:02:13,200 It's something called distillation. 58 00:02:13,200 --> 00:02:16,200 Imagine a brilliant scientist teaching everything 59 00:02:16,200 --> 00:02:17,720 they know to a student. 60 00:02:17,720 --> 00:02:20,600 But the student ends up becoming even more brilliant 61 00:02:20,600 --> 00:02:21,680 than their teacher. 62 00:02:21,680 --> 00:02:22,360 Wow. 63 00:02:22,360 --> 00:02:25,040 That's essentially what's happening with AI distillation. 64 00:02:25,040 --> 00:02:28,320 We can have one AI model transfer its knowledge 65 00:02:28,320 --> 00:02:30,720 to a new generation of AI. 66 00:02:30,720 --> 00:02:33,480 And in the process, the student AI 67 00:02:33,480 --> 00:02:36,880 becomes exponentially smarter than the teacher AI. 68 00:02:36,880 --> 00:02:38,680 It's like evolution on fast forward. 69 00:02:38,680 --> 00:02:38,880 Wow. 70 00:02:38,880 --> 00:02:40,400 So it's not just humans innovating. 71 00:02:40,400 --> 00:02:40,960 Exactly. 72 00:02:40,960 --> 00:02:42,640 The AI is innovating on itself. 73 00:02:42,640 --> 00:02:43,520 Yeah. 74 00:02:43,520 --> 00:02:45,600 That brings us to McCoy's predictions. 75 00:02:45,600 --> 00:02:46,240 Right. 76 00:02:46,240 --> 00:02:49,160 And she doesn't waste any time getting to the big stuff. 77 00:02:49,160 --> 00:02:52,920 She says 2025 is the year of the automation cliff. 78 00:02:52,920 --> 00:02:53,680 Oh, OK. 79 00:02:53,680 --> 00:02:55,400 What exactly did she mean by that? 80 00:02:55,400 --> 00:02:56,240 Picture this. 81 00:02:56,240 --> 00:02:58,240 You're going about your work as usual. 82 00:02:58,240 --> 00:03:00,600 And then seemingly overnight, AI agents 83 00:03:00,600 --> 00:03:03,360 are doing significant portions of your job. 84 00:03:03,360 --> 00:03:04,280 Really? 85 00:03:04,280 --> 00:03:06,040 That's the automation cliff. 86 00:03:06,040 --> 00:03:06,560 So? 87 00:03:06,560 --> 00:03:10,240 A sudden shift where AI takes over tasks previously 88 00:03:10,240 --> 00:03:11,640 done by humans. 89 00:03:11,640 --> 00:03:12,000 Wow. 90 00:03:12,000 --> 00:03:15,400 And McCoy believes it's going to hit us hard in 2025. 91 00:03:15,400 --> 00:03:18,440 OK, so we're not just talking about replacing factory workers 92 00:03:18,440 --> 00:03:19,240 with robots. 93 00:03:19,240 --> 00:03:20,080 No. 94 00:03:20,080 --> 00:03:22,480 This is about white collar jobs, too, right? 95 00:03:22,480 --> 00:03:23,280 Absolutely. 96 00:03:23,280 --> 00:03:23,600 OK. 97 00:03:23,600 --> 00:03:26,080 McCoy predicts that administrative and office work 98 00:03:26,080 --> 00:03:28,680 will be particularly impacted. 99 00:03:28,680 --> 00:03:31,880 Think about all those tasks that involve data entry scheduling 100 00:03:31,880 --> 00:03:33,000 generating reports. 101 00:03:33,000 --> 00:03:33,480 Yeah. 102 00:03:33,480 --> 00:03:36,240 Those are all prime targets for automation. 103 00:03:36,240 --> 00:03:39,320 So it's not just about AI replacing humans entirely. 104 00:03:39,320 --> 00:03:40,000 Right. 105 00:03:40,000 --> 00:03:42,880 But rather humans learning to work alongside AI 106 00:03:42,880 --> 00:03:44,160 in a more integrated way. 107 00:03:44,160 --> 00:03:44,960 Precisely. 108 00:03:44,960 --> 00:03:45,200 OK. 109 00:03:45,200 --> 00:03:48,920 And this is where the concept of autonomous AI agents comes in. 110 00:03:48,920 --> 00:03:49,160 Hold on. 111 00:03:49,160 --> 00:03:51,040 Are these like super powered chatbots? 112 00:03:51,040 --> 00:03:52,040 Not exactly. 113 00:03:52,040 --> 00:03:52,280 OK. 114 00:03:52,280 --> 00:03:54,840 Chatbots are primarily designed for conversations, 115 00:03:54,840 --> 00:03:57,040 whereas AI agents are all about action. 116 00:03:57,040 --> 00:03:57,440 OK. 117 00:03:57,440 --> 00:04:00,760 Think of them as digital workers with specific skills 118 00:04:00,760 --> 00:04:01,840 and responsibilities. 119 00:04:01,840 --> 00:04:05,600 They can make decisions, execute tasks, 120 00:04:05,600 --> 00:04:07,680 and even collaborate with each other. 121 00:04:07,680 --> 00:04:08,240 Wow. 122 00:04:08,240 --> 00:04:10,600 All with varying levels of human oversight. 123 00:04:10,600 --> 00:04:14,600 McCoy talks about using agent swarms in her workflow. 124 00:04:14,600 --> 00:04:15,280 Right. 125 00:04:15,280 --> 00:04:16,640 Can you unpack that a bit? 126 00:04:16,640 --> 00:04:17,280 Absolutely. 127 00:04:17,280 --> 00:04:19,720 How does this actually work in practice? 128 00:04:19,720 --> 00:04:22,920 Imagine you need to write an article on a complex topic. 129 00:04:22,920 --> 00:04:23,280 OK. 130 00:04:23,280 --> 00:04:25,840 Instead of doing all the research writing and editing 131 00:04:25,840 --> 00:04:28,880 yourself, you could have an AI agent swarm 132 00:04:28,880 --> 00:04:31,160 handle different aspects of the task. 133 00:04:31,160 --> 00:04:31,680 Wow. 134 00:04:31,680 --> 00:04:33,840 One agent could gather information. 135 00:04:33,840 --> 00:04:34,080 OK. 136 00:04:34,080 --> 00:04:36,680 Another could synthesize it into a draft. 137 00:04:36,680 --> 00:04:38,680 Another could fact check and edit. 138 00:04:38,680 --> 00:04:39,280 Right. 139 00:04:39,280 --> 00:04:42,440 While yet another agent could even search for and add 140 00:04:42,440 --> 00:04:46,800 relevant images or videos, it's a truly collaborative process 141 00:04:46,800 --> 00:04:49,800 with each agent playing a specific role. 142 00:04:49,800 --> 00:04:52,760 So it's like having a whole team of AI specialists working 143 00:04:52,760 --> 00:04:53,680 under your direction. 144 00:04:53,680 --> 00:04:54,480 Exactly. 145 00:04:54,480 --> 00:04:56,560 Except they never complain about deadlines or need 146 00:04:56,560 --> 00:04:57,360 coffee breaks. 147 00:04:57,360 --> 00:04:58,080 Right. 148 00:04:58,080 --> 00:05:00,880 But what about the human side of this equation? 149 00:05:00,880 --> 00:05:05,440 If AI agents are taking over tasks, where does that leave us? 150 00:05:05,440 --> 00:05:06,400 Humans. 151 00:05:06,400 --> 00:05:08,200 That's the million dollar question, isn't it? 152 00:05:08,200 --> 00:05:08,480 Yeah. 153 00:05:08,480 --> 00:05:12,800 How do we adapt and thrive in a world where AI is increasingly 154 00:05:12,800 --> 00:05:13,720 capable? 155 00:05:13,720 --> 00:05:14,920 Well, let's dive into that. 156 00:05:14,920 --> 00:05:15,360 OK. 157 00:05:15,360 --> 00:05:17,440 What are McCoy's thoughts on how this all 158 00:05:17,440 --> 00:05:19,400 plays out in the workplace? 159 00:05:19,400 --> 00:05:22,840 McCoy believes that by the end of 2025, 160 00:05:22,840 --> 00:05:26,600 we'll see a significant shift towards what she calls 161 00:05:26,600 --> 00:05:28,200 hybrid workforces. 162 00:05:28,200 --> 00:05:28,840 OK. 163 00:05:28,840 --> 00:05:31,280 Picture Fortune 500 companies with teams 164 00:05:31,280 --> 00:05:35,080 composed of both humans and AI agents, 165 00:05:35,080 --> 00:05:38,560 all working together under the guidance of human managers. 166 00:05:38,560 --> 00:05:41,480 So it's not necessarily about mass unemployment, 167 00:05:41,480 --> 00:05:44,640 but rather a reimagining of how work gets done. 168 00:05:44,640 --> 00:05:45,120 Right. 169 00:05:45,120 --> 00:05:47,240 Humans and AI working side by side, 170 00:05:47,240 --> 00:05:49,200 each bringing their own strengths to the table. 171 00:05:49,200 --> 00:05:49,880 Exactly. 172 00:05:49,880 --> 00:05:50,240 OK. 173 00:05:50,240 --> 00:05:52,600 The key will be understanding and managing 174 00:05:52,600 --> 00:05:55,560 the different autonomy levels of AI agents. 175 00:05:55,560 --> 00:05:57,240 Think of it like self-driving cars. 176 00:05:57,240 --> 00:05:57,640 OK. 177 00:05:57,640 --> 00:06:00,720 Some can handle basic tasks like staying in their lane, 178 00:06:00,720 --> 00:06:03,440 while others can navigate complex city streets. 179 00:06:03,440 --> 00:06:04,120 Not sure. 180 00:06:04,120 --> 00:06:06,600 Similarly, some AI agents might require 181 00:06:06,600 --> 00:06:09,920 constant human supervision, while others could operate 182 00:06:09,920 --> 00:06:11,920 with a high degree of independence. 183 00:06:11,920 --> 00:06:12,480 OK. 184 00:06:12,480 --> 00:06:14,040 I think I'm starting to get a sense of what 185 00:06:14,040 --> 00:06:15,680 this automation cliff might look like. 186 00:06:15,680 --> 00:06:16,720 Yeah. 187 00:06:16,720 --> 00:06:18,240 But McCoy doesn't stop there, does she? 188 00:06:18,240 --> 00:06:18,560 Nope. 189 00:06:18,560 --> 00:06:21,480 2026 is when things get even more interesting. 190 00:06:21,480 --> 00:06:22,360 Right. 191 00:06:22,360 --> 00:06:24,760 Or perhaps a little unsettling, depending on your perspective. 192 00:06:24,760 --> 00:06:25,160 Yeah. 193 00:06:25,160 --> 00:06:27,960 She calls it the year of the robot. 194 00:06:27,960 --> 00:06:29,080 OK. 195 00:06:29,080 --> 00:06:31,400 And while we might not be seeing robots taking over 196 00:06:31,400 --> 00:06:35,640 our offices just yet, McCoy predicts that 2026 will 197 00:06:35,640 --> 00:06:38,920 mark the emergence of first-generation humanoid 198 00:06:38,920 --> 00:06:41,560 robots becoming commercially available. 199 00:06:41,560 --> 00:06:42,120 Wow. 200 00:06:42,120 --> 00:06:44,360 Think of it as digital intelligence entering 201 00:06:44,360 --> 00:06:45,440 the physical world. 202 00:06:45,440 --> 00:06:46,760 Humanoid robots. 203 00:06:46,760 --> 00:06:47,360 Yeah. 204 00:06:47,360 --> 00:06:49,600 I'm picturing something out of a sci-fi movie. 205 00:06:49,600 --> 00:06:50,400 I know. 206 00:06:50,400 --> 00:06:52,880 How realistic is this prediction? 207 00:06:52,880 --> 00:06:55,400 And what will these robots actually be able to do? 208 00:06:55,400 --> 00:06:57,440 It's more realistic than you might think. 209 00:06:57,440 --> 00:06:57,880 OK. 210 00:06:57,880 --> 00:07:00,640 NVIDIA, a leading technology company, 211 00:07:00,640 --> 00:07:03,320 predicts they'll have cracked a major challenge called 212 00:07:03,320 --> 00:07:06,160 the Robot World Model by mid-2026. 213 00:07:06,160 --> 00:07:08,240 Robot World Model? 214 00:07:08,240 --> 00:07:10,200 I have to admit that sounds pretty intimidating. 215 00:07:10,200 --> 00:07:11,080 I know, right? 216 00:07:11,080 --> 00:07:12,800 Can you break that down for me? 217 00:07:12,800 --> 00:07:17,040 Imagine giving robots the ability to understand and interact 218 00:07:17,040 --> 00:07:20,360 with the physical world in a way that's similar to humans. 219 00:07:20,360 --> 00:07:20,840 OK. 220 00:07:20,840 --> 00:07:22,760 They'll be able to perceive their surroundings, 221 00:07:22,760 --> 00:07:26,160 navigate obstacles, and even manipulate objects 222 00:07:26,160 --> 00:07:28,680 with a level of dexterity we haven't seen before. 223 00:07:28,680 --> 00:07:31,600 So instead of just following pre-programmed instructions, 224 00:07:31,600 --> 00:07:34,120 these robots will actually be able to understand their 225 00:07:34,120 --> 00:07:36,880 environment and respond to it in real time. 226 00:07:36,880 --> 00:07:37,800 That's the idea. 227 00:07:37,800 --> 00:07:38,600 Wow. 228 00:07:38,600 --> 00:07:41,360 And McCoy believes that this breakthrough, 229 00:07:41,360 --> 00:07:43,560 combined with the rapid advancements in AI 230 00:07:43,560 --> 00:07:47,840 we've been discussing, will lead to a new era of robotics, 231 00:07:47,840 --> 00:07:50,320 one where robots can work alongside humans 232 00:07:50,320 --> 00:07:52,680 in a much more sophisticated way. 233 00:07:52,680 --> 00:07:54,560 This is where it gets really interesting. 234 00:07:54,560 --> 00:07:55,160 Yeah. 235 00:07:55,160 --> 00:07:57,320 Perhaps a little scary, too. 236 00:07:57,320 --> 00:08:00,160 Are we talking about robots taking over physical jobs now, 237 00:08:00,160 --> 00:08:00,600 too? 238 00:08:00,600 --> 00:08:02,880 It's certainly a possibility. 239 00:08:02,880 --> 00:08:05,920 But remember, these first-generation humanoid robots 240 00:08:05,920 --> 00:08:08,200 are going to be expensive, especially 241 00:08:08,200 --> 00:08:10,080 the most advanced models. 242 00:08:10,080 --> 00:08:14,200 We're talking price tags upwards of $80,000. 243 00:08:14,200 --> 00:08:17,600 Even more basic utility robots might cost anywhere 244 00:08:17,600 --> 00:08:20,920 from $2,000 to $110,000. 245 00:08:20,920 --> 00:08:21,840 Jeez. 246 00:08:21,840 --> 00:08:24,800 It's a significant investment, to say the least. 247 00:08:24,800 --> 00:08:28,000 So it sounds like these early humanoid robots 248 00:08:28,000 --> 00:08:30,400 will be more like specialized tools, 249 00:08:30,400 --> 00:08:32,080 kind of like the first iPhone. 250 00:08:32,080 --> 00:08:33,440 Expensive or revolutionary. 251 00:08:33,440 --> 00:08:33,940 Exactly. 252 00:08:33,940 --> 00:08:35,560 It might not be for everyone. 253 00:08:35,560 --> 00:08:38,240 But they'll signal a major shift in what's possible. 254 00:08:38,240 --> 00:08:42,080 And just like the iPhone ushered in a new era 255 00:08:42,080 --> 00:08:45,200 of mobile technology, these robots 256 00:08:45,200 --> 00:08:47,320 could pave the way for a future where 257 00:08:47,320 --> 00:08:49,480 robots are integrated into our lives in ways 258 00:08:49,480 --> 00:08:51,000 we haven't even imagined yet. 259 00:08:51,000 --> 00:08:52,800 OK, I'm already feeling a little overwhelmed. 260 00:08:52,800 --> 00:08:54,560 And we've only made it to 2026. 261 00:08:54,560 --> 00:08:55,480 Oh, yeah. 262 00:08:55,480 --> 00:08:59,040 Macquarie's prediction for 2027 is even more mind-boggling. 263 00:08:59,040 --> 00:09:02,400 The achievement of artificial superintelligence, or ASI. 264 00:09:02,400 --> 00:09:02,960 That's right. 265 00:09:02,960 --> 00:09:05,440 And what's remarkable is that she's not alone in this. 266 00:09:05,440 --> 00:09:05,940 Yeah. 267 00:09:05,940 --> 00:09:06,440 Prediction. 268 00:09:06,440 --> 00:09:10,880 Elon Musk, the Google AI lead, and even Sam Altman, 269 00:09:10,880 --> 00:09:13,160 who's known for being pretty level-headed, 270 00:09:13,160 --> 00:09:15,080 all seem to agree that superintelligence is 271 00:09:15,080 --> 00:09:15,880 right around the corner. 272 00:09:15,880 --> 00:09:16,840 It seems so. 273 00:09:16,840 --> 00:09:19,600 But before we dive into that, let's take a step back 274 00:09:19,600 --> 00:09:20,080 for a second. 275 00:09:20,080 --> 00:09:20,680 OK. 276 00:09:20,680 --> 00:09:25,280 When we talk about ASI, what are we actually talking about? 277 00:09:25,280 --> 00:09:29,120 What does it mean for an AI to be superintelligent? 278 00:09:29,120 --> 00:09:33,760 Essentially, it means that AI surpasses human intelligence 279 00:09:33,760 --> 00:09:35,200 in every aspect. 280 00:09:35,200 --> 00:09:35,700 OK. 281 00:09:35,700 --> 00:09:39,160 Problem-solving creativity, even emotional intelligence. 282 00:09:39,160 --> 00:09:40,000 Wow. 283 00:09:40,000 --> 00:09:43,360 It's an AI that can think faster, learn more efficiently, 284 00:09:43,360 --> 00:09:45,280 and come up with solutions that are 285 00:09:45,280 --> 00:09:47,600 beyond human comprehension. 286 00:09:47,600 --> 00:09:50,080 That's a pretty big concept to wrap my head around. 287 00:09:50,080 --> 00:09:52,160 But Macquarie seems to be suggesting 288 00:09:52,160 --> 00:09:54,800 that this isn't some far-off sci-fi scenario. 289 00:09:54,800 --> 00:09:55,480 Right. 290 00:09:55,480 --> 00:09:58,480 She's saying it could happen as soon as 2027. 291 00:09:58,480 --> 00:09:59,680 How is that even possible? 292 00:09:59,680 --> 00:10:02,120 Well, remember those three patterns of AI development 293 00:10:02,120 --> 00:10:03,200 we talked about earlier? 294 00:10:03,200 --> 00:10:04,880 Scaling laws. 295 00:10:04,880 --> 00:10:07,760 Inference time, compute scaling, and distillation. 296 00:10:07,760 --> 00:10:10,720 They all contribute to a kind of feedback loop 297 00:10:10,720 --> 00:10:13,440 that could lead to AI surpassing human intelligence 298 00:10:13,440 --> 00:10:15,120 in a relatively short amount of time. 299 00:10:15,120 --> 00:10:17,680 So it's like AI is accelerating its own development 300 00:10:17,680 --> 00:10:19,640 building on its own breakthroughs. 301 00:10:19,640 --> 00:10:22,600 And that's what makes this so fascinating and potentially 302 00:10:22,600 --> 00:10:23,640 concerning. 303 00:10:23,640 --> 00:10:25,320 We're talking about an intelligence that 304 00:10:25,320 --> 00:10:29,160 could potentially evolve beyond our control. 305 00:10:29,160 --> 00:10:31,280 OK, now I'm really starting to feel like we're stepping 306 00:10:31,280 --> 00:10:33,040 into uncharted territory. 307 00:10:33,040 --> 00:10:35,520 An AI that's smarter than us. 308 00:10:35,520 --> 00:10:37,440 What does that even mean for humanity? 309 00:10:37,440 --> 00:10:39,240 That's the big question, isn't it? 310 00:10:39,240 --> 00:10:42,280 And it's one that we need to be asking ourselves now 311 00:10:42,280 --> 00:10:45,840 while we still have time to shape the future of AI. 312 00:10:45,840 --> 00:10:48,800 And that's where we'll pick things up in part two 313 00:10:48,800 --> 00:10:49,760 of our deep dive. 314 00:10:49,760 --> 00:10:51,240 Sounds good. 315 00:10:51,240 --> 00:10:53,280 Welcome back. 316 00:10:53,280 --> 00:10:55,080 Right before we left off, we were 317 00:10:55,080 --> 00:10:57,680 wading into some pretty deep waters. 318 00:10:57,680 --> 00:11:00,280 An AI that's smarter than us. 319 00:11:00,280 --> 00:11:03,320 It's both exhilarating and a little terrifying, wouldn't you 320 00:11:03,320 --> 00:11:03,840 say? 321 00:11:03,840 --> 00:11:06,680 It's certainly a concept that challenges 322 00:11:06,680 --> 00:11:09,120 our understanding of what it means to be human. 323 00:11:09,120 --> 00:11:11,800 I think it's natural to have mixed feelings about it. 324 00:11:11,800 --> 00:11:15,160 McCoy seems to be cautiously optimistic. 325 00:11:15,160 --> 00:11:17,560 She emphasizes the potential benefits 326 00:11:17,560 --> 00:11:21,720 comparing AI to a powerful new energy source, one that 327 00:11:21,720 --> 00:11:23,800 could solve some of the world's biggest problems, 328 00:11:23,800 --> 00:11:27,400 like climate change or finding cures for diseases. 329 00:11:27,400 --> 00:11:29,200 That's an interesting analogy. 330 00:11:29,200 --> 00:11:30,840 Think about it throughout history. 331 00:11:30,840 --> 00:11:33,680 New forms of energy have driven progress. 332 00:11:33,680 --> 00:11:36,880 From fire to electricity to nuclear power, 333 00:11:36,880 --> 00:11:39,040 each one has unlocked possibilities 334 00:11:39,040 --> 00:11:41,320 we couldn't have imagined before. 335 00:11:41,320 --> 00:11:45,080 And AI, in a sense, is a new kind of energy, 336 00:11:45,080 --> 00:11:48,480 one that fuels innovation and creativity. 337 00:11:48,480 --> 00:11:50,240 But just like those other forms of energy, 338 00:11:50,240 --> 00:11:52,120 it all comes down to how we use it. 339 00:11:52,120 --> 00:11:54,360 So it's not inherently good or bad. 340 00:11:54,360 --> 00:11:55,800 It's a tool. 341 00:11:55,800 --> 00:11:58,080 And it's up to us to decide how to wield it. 342 00:11:58,080 --> 00:11:58,840 Exactly. 343 00:11:58,840 --> 00:12:01,360 McCoy makes a good point that we 344 00:12:01,360 --> 00:12:04,640 need to move beyond those simplistic narratives of AI 345 00:12:04,640 --> 00:12:07,520 as either a savior or a destroyer. 346 00:12:07,520 --> 00:12:09,640 The reality is likely to be much more complex. 347 00:12:09,640 --> 00:12:10,160 Exactly. 348 00:12:10,160 --> 00:12:12,640 We need to look beyond the hype and the fear-mongering 349 00:12:12,640 --> 00:12:16,000 and really engage with the nuances of what AI can do 350 00:12:16,000 --> 00:12:17,760 and how it might impact our world. 351 00:12:17,760 --> 00:12:20,960 OK, so let's say we want to harness AI for good. 352 00:12:20,960 --> 00:12:23,720 How do we ensure it's developed ethically and responsibly? 353 00:12:23,720 --> 00:12:25,920 What are the safeguards we need to put in place? 354 00:12:25,920 --> 00:12:28,480 Well, McCoy talks about the need for collaboration, 355 00:12:28,480 --> 00:12:30,880 transparency, and open dialogue. 356 00:12:30,880 --> 00:12:31,280 OK. 357 00:12:31,280 --> 00:12:33,360 She argues that the future of AI shouldn't 358 00:12:33,360 --> 00:12:37,160 be dictated by just a handful of tech giants or governments. 359 00:12:37,160 --> 00:12:37,480 Right. 360 00:12:37,480 --> 00:12:39,880 It needs to be a collective effort involving 361 00:12:39,880 --> 00:12:43,000 diverse voices and perspectives from all sectors of society. 362 00:12:43,000 --> 00:12:45,200 So we need to bring everyone to the table. 363 00:12:45,200 --> 00:12:45,680 Yeah. 364 00:12:45,680 --> 00:12:51,160 Researchers, policymakers, ethicists, even everyday citizens. 365 00:12:51,160 --> 00:12:51,640 Exactly. 366 00:12:51,640 --> 00:12:54,840 To discuss the implications of AI and ensure 367 00:12:54,840 --> 00:12:57,200 it aligns with our values as a society. 368 00:12:57,200 --> 00:12:58,920 We need to break down those silos 369 00:12:58,920 --> 00:13:01,600 and create a more open and inclusive ecosystem 370 00:13:01,600 --> 00:13:03,200 for AI development. 371 00:13:03,200 --> 00:13:05,720 It's about fostering a culture of responsibility. 372 00:13:05,720 --> 00:13:06,220 Yeah. 373 00:13:06,220 --> 00:13:08,160 But we're constantly asking ourselves tough questions 374 00:13:08,160 --> 00:13:12,560 about the potential impact of AI and how we can mitigate risks. 375 00:13:12,560 --> 00:13:13,720 That makes sense. 376 00:13:13,720 --> 00:13:16,160 But it's not just about regulating the big tech companies, 377 00:13:16,160 --> 00:13:16,560 right? 378 00:13:16,560 --> 00:13:19,160 No, it's also about empowering individuals. 379 00:13:19,160 --> 00:13:19,480 OK. 380 00:13:19,480 --> 00:13:21,040 Giving them the knowledge and tools 381 00:13:21,040 --> 00:13:23,720 they need to navigate this rapidly changing world. 382 00:13:23,720 --> 00:13:27,160 So we can't just sit back and passively observe 383 00:13:27,160 --> 00:13:29,320 as AI transforms our society. 384 00:13:29,320 --> 00:13:29,840 Right. 385 00:13:29,840 --> 00:13:34,160 We need to be active participants in shaping its development 386 00:13:34,160 --> 00:13:37,360 and ensuring it benefits everyone, not just a select few. 387 00:13:37,360 --> 00:13:38,000 Absolutely. 388 00:13:38,000 --> 00:13:38,280 OK. 389 00:13:38,280 --> 00:13:39,520 So let's get practical here. 390 00:13:39,520 --> 00:13:40,160 OK. 391 00:13:40,160 --> 00:13:43,880 What steps can our listeners take to stay ahead of the curve 392 00:13:43,880 --> 00:13:46,000 and harness the potential of AI? 393 00:13:46,000 --> 00:13:47,160 That's a great question. 394 00:13:47,160 --> 00:13:47,400 Yeah. 395 00:13:47,400 --> 00:13:48,840 And there are a few things that come to mind. 396 00:13:48,840 --> 00:13:49,360 OK. 397 00:13:49,360 --> 00:13:50,880 First, stay informed. 398 00:13:50,880 --> 00:13:51,360 Right. 399 00:13:51,360 --> 00:13:53,680 This field is evolving so rapidly 400 00:13:53,680 --> 00:13:56,720 that it's essential to keep up with the latest developments. 401 00:13:56,720 --> 00:13:59,400 Read articles, listen to podcasts like this one, 402 00:13:59,400 --> 00:14:00,120 of course. 403 00:14:00,120 --> 00:14:00,560 Of course. 404 00:14:00,560 --> 00:14:03,840 And engage in conversations about AI. 405 00:14:03,840 --> 00:14:06,040 The more you understand about this technology, 406 00:14:06,040 --> 00:14:08,560 the better equipped you'll be to navigate its impact 407 00:14:08,560 --> 00:14:09,920 on your life and career. 408 00:14:09,920 --> 00:14:12,640 So it's all about continuous learning and being curious, 409 00:14:12,640 --> 00:14:13,960 even if you're not a tech expert. 410 00:14:13,960 --> 00:14:14,680 Exactly. 411 00:14:14,680 --> 00:14:16,680 Second, don't be afraid to experiment. 412 00:14:16,680 --> 00:14:17,520 OK. 413 00:14:17,520 --> 00:14:21,120 There are so many incredible AI tools available online, 414 00:14:21,120 --> 00:14:23,480 many of them free or low cost. 415 00:14:23,480 --> 00:14:23,840 Right. 416 00:14:23,840 --> 00:14:25,360 Play around with them, see what they can do, 417 00:14:25,360 --> 00:14:27,520 and think about how you might be able to incorporate them 418 00:14:27,520 --> 00:14:29,320 into your work or personal life. 419 00:14:29,320 --> 00:14:31,160 It's like taking AI for a test drive, 420 00:14:31,160 --> 00:14:32,760 seeing how it fits into your world. 421 00:14:32,760 --> 00:14:33,400 Exactly. 422 00:14:33,400 --> 00:14:35,600 And finally, don't underestimate the importance 423 00:14:35,600 --> 00:14:36,800 of your human skills. 424 00:14:36,800 --> 00:14:37,280 OK. 425 00:14:37,280 --> 00:14:39,640 Yes, AI is transforming the job market. 426 00:14:39,640 --> 00:14:40,160 Right. 427 00:14:40,160 --> 00:14:42,920 But there will always be a need for creativity, 428 00:14:42,920 --> 00:14:46,640 critical thinking, empathy, and emotional intelligence. 429 00:14:46,640 --> 00:14:49,640 These are the qualities that make us uniquely human. 430 00:14:49,640 --> 00:14:49,880 Yeah. 431 00:14:49,880 --> 00:14:52,880 And they'll become even more valuable in an AI-powered world. 432 00:14:52,880 --> 00:14:55,200 So it's not just about learning to code 433 00:14:55,200 --> 00:14:56,600 or becoming a data scientist. 434 00:14:56,600 --> 00:14:56,960 Right. 435 00:14:56,960 --> 00:15:00,000 It's about honing those uniquely human skills 436 00:15:00,000 --> 00:15:01,680 that AI can't replicate. 437 00:15:01,680 --> 00:15:02,240 Precisely. 438 00:15:02,240 --> 00:15:05,080 The future belongs to those who can adapt, learn, 439 00:15:05,080 --> 00:15:08,760 and collaborate, both with each other and with AI. 440 00:15:08,760 --> 00:15:12,120 It's about finding that balance between human ingenuity 441 00:15:12,120 --> 00:15:14,320 and AI's incredible capabilities. 442 00:15:14,320 --> 00:15:15,200 Uh-huh. 443 00:15:15,200 --> 00:15:18,920 And that brings us to part three of our deep dive. 444 00:15:18,920 --> 00:15:21,680 So we've been talking a lot about individual adaptation. 445 00:15:21,680 --> 00:15:21,960 Yeah. 446 00:15:21,960 --> 00:15:26,560 About how to stay ahead of the curve in this rapidly evolving 447 00:15:26,560 --> 00:15:28,280 world of AI. 448 00:15:28,280 --> 00:15:31,040 But it's not just about personal upskilling, is it? 449 00:15:31,040 --> 00:15:31,840 No, it's not. 450 00:15:31,840 --> 00:15:33,200 There's a bigger picture here. 451 00:15:33,200 --> 00:15:33,720 Uh-huh. 452 00:15:33,720 --> 00:15:36,040 The societal implications of AI. 453 00:15:36,040 --> 00:15:36,920 You're absolutely right. 454 00:15:36,920 --> 00:15:39,760 As AI becomes more integrated into our lives, 455 00:15:39,760 --> 00:15:43,120 it's going to raise a whole host of ethical and societal 456 00:15:43,120 --> 00:15:43,920 questions. 457 00:15:43,920 --> 00:15:44,440 Right. 458 00:15:44,440 --> 00:15:48,080 We need to be thinking about things like algorithmic bias, 459 00:15:48,080 --> 00:15:51,360 the potential for job displacement in certain sectors, 460 00:15:51,360 --> 00:15:54,760 the impact on privacy and security, 461 00:15:54,760 --> 00:15:56,600 and even more fundamentally, what 462 00:15:56,600 --> 00:15:58,920 does it mean to be human in a world where 463 00:15:58,920 --> 00:16:01,600 machines are becoming increasingly intelligent? 464 00:16:01,600 --> 00:16:03,200 It's like we're writing a new chapter 465 00:16:03,200 --> 00:16:04,400 in the story of humanity. 466 00:16:04,400 --> 00:16:05,120 Yeah, it is. 467 00:16:05,120 --> 00:16:07,640 We need to make sure it's a chapter we're proud of. 468 00:16:07,640 --> 00:16:12,200 McCoy talks about the need for a new social contract, 469 00:16:12,200 --> 00:16:14,720 one that takes into account the unique challenges 470 00:16:14,720 --> 00:16:18,320 and opportunities presented by AI. 471 00:16:18,320 --> 00:16:20,000 What do you think she means by that? 472 00:16:20,000 --> 00:16:23,360 I think she's pointing to the need for a fundamental shift 473 00:16:23,360 --> 00:16:26,080 in how we think about our relationship with technology. 474 00:16:26,080 --> 00:16:29,160 This isn't just another technological advancement. 475 00:16:29,160 --> 00:16:30,800 This is something that has the potential 476 00:16:30,800 --> 00:16:33,280 to reshape our societies, our economies, 477 00:16:33,280 --> 00:16:34,920 even our very sense of self. 478 00:16:34,920 --> 00:16:35,600 Wow. 479 00:16:35,600 --> 00:16:37,160 We need to have a serious conversation 480 00:16:37,160 --> 00:16:39,680 about what kind of future we want to create with AI. 481 00:16:39,680 --> 00:16:40,160 Yeah. 482 00:16:40,160 --> 00:16:42,520 And that conversation needs to involve everyone. 483 00:16:42,520 --> 00:16:44,520 So it's not just about mitigating the risks. 484 00:16:44,520 --> 00:16:44,800 Yeah. 485 00:16:44,800 --> 00:16:47,960 It's about actively shaping the future we want to see. 486 00:16:47,960 --> 00:16:48,760 Exactly. 487 00:16:48,760 --> 00:16:51,440 We need to move beyond this reactive mindset 488 00:16:51,440 --> 00:16:54,840 and start thinking proactively about how we can use AI 489 00:16:54,840 --> 00:16:58,360 to create a more just equitable and sustainable world. 490 00:16:58,360 --> 00:17:01,000 And that's going to require a new set of rules, 491 00:17:01,000 --> 00:17:03,400 a new way of thinking about our responsibilities 492 00:17:03,400 --> 00:17:05,000 to each other and to the planet. 493 00:17:05,000 --> 00:17:10,040 McCoy encourages us to view AI not as a threat, 494 00:17:10,040 --> 00:17:12,320 but as a catalyst for positive change. 495 00:17:12,320 --> 00:17:13,440 I agree. 496 00:17:13,440 --> 00:17:15,400 What are some concrete examples of how AI 497 00:17:15,400 --> 00:17:17,840 could be used to address some of the pressing challenges 498 00:17:17,840 --> 00:17:19,000 we face today? 499 00:17:19,000 --> 00:17:20,680 Well, let's take climate change, for example. 500 00:17:20,680 --> 00:17:21,000 OK. 501 00:17:21,000 --> 00:17:24,080 AI can be used to develop more efficient renewable energy 502 00:17:24,080 --> 00:17:26,880 systems, optimize transportation networks 503 00:17:26,880 --> 00:17:30,040 to reduce emissions, even model and predict 504 00:17:30,040 --> 00:17:33,000 the effects of climate change to help us adapt. 505 00:17:33,000 --> 00:17:33,640 Wow. 506 00:17:33,640 --> 00:17:37,040 In health care, AI can be used to personalize treatments, 507 00:17:37,040 --> 00:17:40,880 develop new drugs, and even assist with surgery. 508 00:17:40,880 --> 00:17:43,800 And in education, AI can personalize learning, 509 00:17:43,800 --> 00:17:47,680 provide real time feedback, and make quality education 510 00:17:47,680 --> 00:17:49,480 more accessible to everyone. 511 00:17:49,480 --> 00:17:53,520 So AI has the potential to solve some of humanity's 512 00:17:53,520 --> 00:17:54,440 biggest problems. 513 00:17:54,440 --> 00:17:55,120 It does. 514 00:17:55,120 --> 00:17:57,960 But only if we use it wisely and intentionally. 515 00:17:57,960 --> 00:17:58,320 Yeah. 516 00:17:58,320 --> 00:17:59,600 It's a powerful tool. 517 00:17:59,600 --> 00:18:03,120 And like any tool, it can be used for good or for ill. 518 00:18:03,120 --> 00:18:03,680 Precisely. 519 00:18:03,680 --> 00:18:05,400 It all comes back to human agency. 520 00:18:05,400 --> 00:18:08,960 We're not passive bystanders in this technological revolution. 521 00:18:08,960 --> 00:18:11,600 We have the power to shape the future of AI 522 00:18:11,600 --> 00:18:14,680 and ensure it aligns with our values and aspirations. 523 00:18:14,680 --> 00:18:16,400 What would you say to our listeners, those 524 00:18:16,400 --> 00:18:19,360 who might be feeling a little overwhelmed by all of this? 525 00:18:19,360 --> 00:18:19,840 Hmm. 526 00:18:19,840 --> 00:18:20,600 That's a good question. 527 00:18:20,600 --> 00:18:23,040 What's the one key takeaway you want them to leave with? 528 00:18:23,040 --> 00:18:25,800 I would say the future is not predetermined. 529 00:18:25,800 --> 00:18:28,200 It's something we create together through the choices 530 00:18:28,200 --> 00:18:29,800 we make and the actions we take. 531 00:18:29,800 --> 00:18:32,400 Stay curious, stay engaged, and don't 532 00:18:32,400 --> 00:18:34,040 be afraid to ask tough questions. 533 00:18:34,040 --> 00:18:34,640 Yeah. 534 00:18:34,640 --> 00:18:37,240 The future of AI is in our hands. 535 00:18:37,240 --> 00:18:39,080 That's a powerful message to end on. 536 00:18:39,080 --> 00:18:39,600 Thank you. 537 00:18:39,600 --> 00:18:41,600 We've covered a lot of ground in this deep dive. 538 00:18:41,600 --> 00:18:42,160 Yeah, we have. 539 00:18:42,160 --> 00:18:44,160 From the technical breakthroughs driving 540 00:18:44,160 --> 00:18:49,000 AI's rapid evolution to the potential impact on our jobs, 541 00:18:49,000 --> 00:18:52,200 our societies, and even our very understanding of what 542 00:18:52,200 --> 00:18:54,440 it means to be human, we've explored 543 00:18:54,440 --> 00:18:57,280 both the promises and the perils of this transformative 544 00:18:57,280 --> 00:18:57,960 technology. 545 00:18:57,960 --> 00:18:58,840 We have. 546 00:18:58,840 --> 00:19:02,200 As Julia McCoy reminds us, this is just the beginning. 547 00:19:02,200 --> 00:19:02,700 It is. 548 00:19:02,700 --> 00:19:05,600 The AI we use today is the worst it will ever be. 549 00:19:05,600 --> 00:19:06,760 It really is. 550 00:19:06,760 --> 00:19:10,280 So buckle up, stay curious, and embrace the future, 551 00:19:10,280 --> 00:19:12,240 because it's going to be an incredible ride. 552 00:19:12,240 --> 00:19:13,000 I agree. 553 00:19:13,000 --> 00:19:15,920 Thanks for joining us on this deep dive into the world of AI. 554 00:19:15,920 --> 00:19:18,760 Until next time, keep exploring, keep learning, 555 00:19:18,760 --> 00:19:44,200 and keep questioning the future is waiting to be written.